Sfoglia categorie
Esplora
Fiverr Pro
Italiano
$
USD
Muhammad A
@muhammad_aoun15
Machine Learning Developer,Python,Data Analysis,AI
Pakistan
Inglese, Urdu, Punjabi
Chi sono
Python, Machine Learning, AI, and Flutter developer focused on building practical software and data-driven solutions. Experienced with Python, Pandas, NumPy, Scikit-learn, XGBoost, LightGBM, SHAP, FastAPI, Streamlit, Flutter, Dart, and SQL. I build machine learning models, AI assistants, chatbots, APIs, dashboards, and mobile applications. I focus on clean code, practical solutions, clear communication, and reliable delivery.
Competenze
Muhammad A
offline •
Tempo di risposta medio: 1 ora
Consulta i miei servizi
Applicazioni web full stack
I will build machine learning models and ai applications
Modello statistico e analisi
I will analyze, clean and visualize your data using python
Portfolio
Esperienza lavorativa
remote
Freelance • 6 mos
AI Developer | Python & Streamlit
Jun 2026 - Present • 2 mos
Developed an AI-powered Career Assistant web application using Python and Streamlit to help job seekers improve their resumes and career readiness. Key features include: • ATS Resume Scoring and keyword analysis • Resume parsing from PDF and DOCX files • Job description and skill matching • Skill Gap Analysis with learning roadmaps • AI-powered resume analysis using Google Gemini • Structured extraction of education, skills, projects, certifications, and experience • Modular Python architecture for maintainable and scalable development Technologies: Python, Streamlit, Google Gemini API, PDF/DOCX Processing, NLP, REST/API Integration, SQL, Git/GitHub. The project focuses on turning unstructured resumes and job descriptions into actionable career insights through automated analysis and AI.
Clinic Management System
Apr 2026 - Present • 4 mos
Developed a full-stack Clinic Management System to help manage clinic operations through a modern mobile application. The application includes a secure login system, clinic dashboard, patient management, doctor management, appointment management, and quick actions. The dashboard displays real data such as patient count, doctor count, appointment count, and today’s appointments. I worked as the Full-Stack Developer and handled the Flutter frontend, UI/UX development, FastAPI backend, REST API integration, JWT authentication, database/API integration, debugging, and deployment configuration. The Flutter application communicates directly with the FastAPI backend, allowing users to view and manage real data instead of static or hard-coded information. Technologies: Flutter, Dart, Python, FastAPI, REST APIs, JWT Authentication, SQL/Database, Git, GitHub. The goal was to create a secure, responsive, and practical clinic management solution with a clean user experience.
